Evidence map›Paper›PMID 37557910›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2023

The language network is not engaged in object categorization.

Yael Benn, Anna A Ivanova, Oliver Clark, Zachary Mineroff, Chloe Seikus, Jack Santos Silva, Rosemary Varley, Evelina Fedorenko

Open access · hybridAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. The cerebellar components of the human language network.bioRxiv : the preprint server for biology · 2025
    Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Yael BennDepartment of Psychology, Manchester Metropolitan University, Manchester M15 6BH, United Kingdom.ORCID 0000-0001-7482-5927
Anna A IvanovaBrain and Cognitive Sciences Department, Massachusetts Institute of Technology, Cambridge, MA 02139, United States.
Oliver ClarkDepartment of Psychology, Manchester Metropolitan University, Manchester M15 6BH, United Kingdom.
Zachary MineroffBrain and Cognitive Sciences Department, Massachusetts Institute of Technology, Cambridge, MA 02139, United States.
Chloe SeikusDivision of Psychology & Language Sciences, University College London, London WC1E 6BT, UK.
Jack Santos SilvaDivision of Psychology & Language Sciences, University College London, London WC1E 6BT, UK.
Rosemary VarleyDivision of Psychology & Language Sciences, University College London, London WC1E 6BT, UK.
Evelina FedorenkoBrain and Cognitive Sciences Department, Massachusetts Institute of Technology, Cambridge, MA 02139, United States.
McGovern Institute for Brain Research · USUniversity College London · GBManchester Metropolitan University · GB

Funding

Functional reorganization of the language and domain-general multiple demand systems in aphasiaR01DC016950 · NIDCD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI FEDORENKO, EVELINA, KIRAN, SWATHI · 2019 to 2023
$3.2M
The neural architecture of pragmatic processingR01DC016607 · NIDCD · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI FEDORENKO, EVELINA · 2018 to 2022
$2.4M
fMRI investigations of the functional architecture of the language systemR00HD057522 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI FEDORENKO, EVELINA · 2014 to 2016
$738k
NIDCD NIH HHS R01 DC016607NIDCD NIH HHS R01 DC016950NIH HHS R00-HD057522
6 · The paper itself

Abstract

The relationship between language and thought is the subject of long-standing debate. One claim states that language facilitates categorization of objects based on a certain feature (e.g. color) through the use of category labels that reduce interference from other, irrelevant features. Therefore, language impairment is expected to affect categorization of items grouped by a single feature (low-dimensional categories, e.g. "Yellow Things") more than categorization of items that share many features (high-dimensional categories, e.g. "Animals"). To test this account, we conducted two behavioral studies with individuals with aphasia and an fMRI experiment with healthy adults. The aphasia studies showed that selective low-dimensional categorization impairment was present in some, but not all, individuals with severe anomia and was not characteristic of aphasia in general. fMRI results revealed little activity in language-responsive brain regions during both low- and high-dimensional categorization; instead, categorization recruited the domain-general multiple-demand network (involved in wide-ranging cognitive tasks). Combined, results demonstrate that the language system is not implicated in object categorization. Instead, selective low-dimensional categorization impairment might be caused by damage to brain regions responsible for cognitive control. Our work adds to the growing evidence of the dissociation between the language system and many cognitive tasks in adults.

Indexed as

AphasiaLanguageAdultBrainHumansaphasiacategorizationfMRIlanguage

Identifiers

PMID37557910
PMCPMC10545444
OpenAlexW4385690887

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.